Abstract
AbstractIn this paper, a new algorithm is proposed for restoring first order statistics of the cover image after steganographic embedding in spatial domain on gray scale images. The main motivation of this paper is to prevent first order statistics based steganalytic attack in spatial domain. We provide experimental results to show that the proposed scheme gives better performance than existing restoration methods especially for non-Gaussian cover distribution. A few state of art steganalytic attacks based on first order image statistics are considered and it is experimentally shown that proposed scheme has outperformed the existing schemes against those attacks.KeywordsCover ImageStego ImageTotal NoiseRestoration SchemeFull CompensationThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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